William Duong
Machine Learning Research Scientist at U.S. Army DEVCOM Army Research Laboratory
City of Schenectady, New York, United States
Summary
👤
Senior🎓
Top SchoolWilliam Duong is a Machine Learning Research Scientist with 11 years of experience building research-driven ML systems and reproducible experiment pipelines, now at U.S. Army DEVCOM ARL. He has led end-to-end projects that combine novel RL agent training, human-in-the-loop data integration, and simulation-driven data collection to accelerate research setup and improve performance (e.g., +15% RL training gains, 50% faster sampling, 30–50% faster experiment setup). His background spans EEG transfer learning (NeurIPS BEETL 2nd place), hybrid quantum-classical generative modelling, and practical ML tooling for satellite imagery and production text classification. Comfortable bridging research and engineering, he routinely turns cutting-edge papers into robust, extensible codebases using PyTorch/PyTorch-Lightning, Qiskit, and modern ML infrastructure. Based in Schenectady, NY, he brings a rare combination of academic rigor and applied systems-level craftsmanship to human-AI collaboration problems.
11 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Rochester Institute of Technology
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
vulnerability7
cve6
security6
vulnerability-management5
openvas4
vulnerabilities3
react2
style-transfer1
music-generation1
trading1
neural-style-transfer1
frontend1
music1
cryptocurrency1
metal1
Programming languages (3)
Github contributions (5)
mcd4874/NeurIPS_competition
Jul 2021 - Jan 2022
Contributions:30 commits, 1 push in 5 months
mcd4874/apple-challenge
Jan 2016 - Nov 2016
Contributions:4 pushes, 1 branch in 9 months
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